No Clocks

The book covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages!

The Getting Things Done blog

David Allen's Getting Things Done® (GTD®) is the work-life management system that alleviates overwhelm, and instills focus, clarity, and confidence.David Allen's Getting Things Done®

Unpacking Data Science One Step At A Time.

A curated list of awesome READMEs. Contribute to matiassingers/awesome-readme development by creating an account on GitHub.

crosswalkr

I am working on a Shiny application which allows the user to upload data, do some analysis and processing on each variable in the data, and finally use the processed variables to build a statistical model. As there may be hundreds of variables in the data, the user may want ...

A book for Geospatial Health Analysis with R.

Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, PHP, Python, Bootstrap, Java and XML.

Business Analytics with R

This is a DT Editor Shiny app. Contribute to jienagu/DT-Editor development by creating an account on GitHub.

Interactive charts for your web pages.

An initiative of the Swiss Association of Actuaries

Using Git and GitHub with R, Rstudio, and R Markdown